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docs: improve readability by adding whitespace in details blocks
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docs/connectors/on-prem-databases/opengauss.md

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openGauss 3.0.0 and above
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## Supported Field Types
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<details>
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<summary><b>Click to expand and view the detailed list</b></summary>
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docs/connectors/on-prem-databases/sqlserver.md

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* When SQL Server is used as the source database and a DDL operation (such as adding a column) is performed on the fields of a table under incremental sync, you will need to restart change data capture for the table to avoid data synchronization errors or failures.
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<details>
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<summary>Restart change data capture for the corresponding table</summary>
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```sql
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**A**: SQL Server 2005 does not support CDC. Incremental data capture can be done via [field polling](../../introduction/change-data-capture-mechanism.md), or by using the following method:
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<details>
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<summary>SQL Server 2005 as a Source Solution</summary>
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Since CDC is supported from SQL Server 2008 onward, for earlier versions, you can simulate change data capture using Custom SQL. When replicating data from older versions, the source table must have a change-tracking column, such as <b>LAST_UPDATED_TIME</b>, which is updated with every insert or update. When creating the data replication task, set the task synchronization type to <b>Full</b>, enable <b>Repeat Custom SQL</b> as <b>True</b>, and provide appropriate Custom SQL in the mapping design.
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</details>
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* **Q**: When certain tables cannot enable CDC while others work normally. How can I resolve this issue without restarting the entire database?

docs/connectors/others/dummy.md

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Dummy is a data source that generates test data. This article describes how to add Dummy data sources to TapData Cloud.
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<details>
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<summary>Supported Generated Field Types</summary>
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| Type | Description | Parameters |

docs/connectors/saas-and-api/coding.md

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- **Webhook**: Uses Coding’s Webhook feature to listen for events and sends notifications to the Tapdata platform via HTTP POST. If selected, click **Generate** to obtain a service URL, and follow the steps below to configure Webhook on the Coding platform.
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<details>
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<summary>Configure Webhook on the Coding Platform</summary>
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1. Log in to the [Coding platform](https://e.coding.net/login) as an administrator.

docs/connectors/saas-and-api/lark-im.md

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```
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<details>
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<summary>Fields Description</summary>
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<summary>Fields Description</summary>
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| Field Name | Description |
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| --------------- | ------------------------------------------------------------ |
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| **content** | Message content, formatted as a JSON string |
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For more details, see the [Send message content structure](https://open.feishu.cn/document/server-docs/im-v1/message-content-description/create_json).
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</details>
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</details>
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## Prerequisites
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docs/connectors/saas-and-api/zoho-desk.md

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<details>
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<summary>Create Webhook (Click to expand) </summary>
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<summary>Create Webhook (Click to expand) </summary>
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1. In [Zoho Desk](https://www.zoho.com/), click the ![settings](../../images/setting_icon.png) icon in the top-right.
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docs/connectors/warehouses-and-lake/big-query.md

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2. On the redirected page, enter the role name and click **ADD PERMISSIONS**.
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3. In the pop-up dialog, search for each permission one by one and grant them accordingly.
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<summary>Minimum Permissions List (Click to expand) </summary>
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<summary>Minimum Permissions List (Click to expand) </summary>
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<div>
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bigquery.datasets.create<br/>
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bigquery.tables.updateData
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2. After the permission selection is complete, click **CREATE**.

docs/connectors/warehouses-and-lake/gaussdb.md

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<summary><b>What is the distribution column?</b></summary>
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In GaussDB (DWS), distribution columns determine how data is distributed across nodes in a distributed table, impacting query performance. For more details, see [Best Practices for Choosing Distribution Columns](https://support.huaweicloud.com/intl/en-us/performance-dws/dws_10_0042.html).

docs/data-replication/create-task.md

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As an example of creating a data replication task, the article demonstrates the real-time replication of data from MySQL to MongoDB. However, it's important to note that TapData supports replication tasks between various data sources, so you can configure replication between different combinations of databases based on your specific requirements.
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To build efficient and reliable data replication tasks, it is recommended to read the <a href="../case-practices/best-practice/data-sync">Data Synchronization Best Practices</a> before starting to configure tasks.
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<summary>Best Practices</summary>
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To build efficient and reliable data replication tasks, it is recommended to read the <a href="../case-practices/best-practice/data-sync">Data Synchronization Best Practices</a> before starting to configure tasks.
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1. Log in to TapData Platform.

docs/data-transformation/create-views/overview.md

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<summary>Ways to Add Related Fields</summary>
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When designing your Incremental Materialized View, you can choose how data from related tables is included in your main record. TapData lets you customize this structure to match your analysis needs and downstream use cases:

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